Machine learning has emerged as a pivotal tool for the early identification and risk stratification of diabetes, a disorder affecting hundreds of millions worldwide. By leveraging vast and often ...

Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic ...